MODIFICATION OF ASPHALT MIXES USING WHITE CEMENT DUST AND IRON FILINGS AS A FILLER

The possibility of using white cement dust and iron filings as fillers to modify asphalt mix properties was investigated. Numerous aggregate tests were conducted, including sieve analysis, specific gravity, absorption, and abrasion tests. Several bitumen tests were also conducted, including penetration, softening point, ductility, flash point, and specific gravity tests. Marshall properties were used to evaluate the physical performance of the mixtures. The construction of pavements with iron filings in hot asphalt mixtures is not recommended, but white cement dust powder or limestone powder can be beneficial. A 5% content was observed to be the best white cement dust content. There is no clear relationship between air voids and the percentages of white cement dust and iron filings, as the curve fluctuates. The use of white cement dust as a filler always exhibits better results; therefore, using white cement dust widely is recommended over using iron filings

PREDICTION OF PARKING ACCUMULATION FOR DIFFERENT LAND USES IN ABU DHABI CITY FROM AN EXISTING SURVEY

Parking accumulation profiles are time-dependent quantities at car parks that need data from longitudinal observational surveys. Car parks can be grouped into clusters based on the similarity in the shape of their accumulation profiles. This study investigates factors affecting parking accumulation and attempts to devise a methodology to construct parking accumulation profiles for different land uses in Abu Dhabi city. The study uses data available from Dubai city, which has a similar land-use type and distribution pattern as Abu Dhabi. A snapshot survey was conducted to observe the portion of the sampled car parks to calibrate the predicted parking accumulation. The estimation of parking accumulation profiles based on different land uses in Abu Dhabi city was done using the planning of the survey conducted in Dubai. The results suggest that a preliminary parking survey can help determine the initial accumulation profile and predict a robust parking accumulation profile that is applicable across different land-use types in Abu Dhabi

Automated intersection delay estimation using the input–output principle and turning movement data

Vehicle delay is one of the most important performance measures of effectiveness (PMOE) in intersection traffic operations. It allows traffic engineers to evaluate the performance of a traffic system component or the effectiveness of the system-wide control strategy. It is often utilized for real-time applications such as adaptive signal control, congestion management, and dynamic traffic assignment. However, obtaining intersection performance data in real time such as intersection control delay can be very time consuming and labor intensive. This paper develops and tests a reliable method called the Automated Vehicle Delay Estimation Technique (AVDET), which automatically estimates delay at a signalized intersection using detector data and signal timing information from the existing traffic signal controller. Results from the delay estimation algorithm were compared with those from simulation, followed by statistical tests under varying traffic operation conditions. The findings showed that AVDET was able to provide effective results under different traffic and signal control scenarios. Future work of field implementation for the proposed algorithms is recommended to investigate the model reliability and effectiveness in real-time traffic conditions